Informatics Publishing Limited

P. Grace Kanmani Prince ¹, Rani Hemamalini ², R. Immanuel Rajkumar ¹

Affiliations
1 Sathyabama University, Chennai, IN
2 St. Peter’s College of engineering and Technology, Chennai, IN

Abstract

The manifestation of seizure in patients can be in the form of abnormal muscular movement occurring at the extremities and it can cause sudden fall to the patients which can lead to injuries. MEMS accelerometer MPU6050 is used to acquire the signals from the extremities to detect abnormal movements and sudden fall. The signals are received through an interfacing device named Arduino Uno and are processed using LabVIEW software. The Wavelet transform is used for detecting the changes in movement of the extremity and a thresholding technique is used for seizure detection and fall detection. Once a seizure or fall is detected then a message is sent to the caretaker through GSM.

Keywords

Abnormal Muscular Movement, Fall Detection, Mems Accelerometer, Seizure, Wavelet Transform

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